ResearchBenchmarksCollaborative Multi-Agent Reinforcement Learning on SMAC Terran (10 agents) v2Follow58.3Win RateMA2E21.931.3540.850.25Apr 1, 2026Evaluation ResultsMethodMethodLinksWin RateMA2E2026.0458.3MAPPO2026.0457.1GRASPbase_method=MAPPObase_method=MAPPO2026.0446.7HAPPO2026.0423.3